The agent assembled a partial but coherent understanding of Outside The Box by fetching the homepage, about, pricing, contact, work, and FAQ pages, plus a specialized CRO service page. However, the site's HTML responses were heavily truncated (Next.js cached chunks), forcing the agent to rely on page titles, metadata, and prior knowledge rather than full page body content. The agent inferred core positioning (transparent pricing, MVP focus, CRO expertise, startup-friendly) but could not verify specific pricing tiers, guarantee terms, or team details directly from the rendered pages.

• ›Steps [0], [1], [2], [8], [9], [10], [13] returned 200s but with truncated HTML (4400+ chars omitted in each response), making full content extraction impossible. The agent had to work from page structure, metadata, and prior knowledge (36% of fetches sourced from prior knowledge per metadata).
• ›The agent successfully identified key pages (about, pricing, FAQ, CRO service, contact, work portfolio) but could not read their full text content. Pricing specifics ($5K start, $10K MVP, 30-day guarantee) came from metadata inference, not page body text.
• ›Step [3] to /services returned 404, indicating the main services hub is not a catchable page; services are nested under /services/<specific-service> (discovered via step [13] /services/cro). The site structure is not fully exposed via top-level routing.
• ›The agent resorted to 11 web searches (steps [7], [11], [12], [14]–[24]) to fill gaps, but those searches returned external comparison sites and the same truncated homepage/FAQ results, not new content from the domain itself.
• ›No structured data (JSON-LD, microdata) or machine-readable pricing schemas were extracted from the truncated responses. The agent's final answer relies heavily on inferred messaging rather than explicit site content.